Fan Yang, Ji Qiao, Mengjie Shi, Zixuan Zhao, R. Liu
{"title":"Cascading Event Analysis in Distribution Networks Based on High-Dimensional Factor Models","authors":"Fan Yang, Ji Qiao, Mengjie Shi, Zixuan Zhao, R. Liu","doi":"10.1109/ACPEE56931.2023.10135784","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135784","url":null,"abstract":"Cascading event detection is essential for situational awareness and the secure operation of distribution networks. In this paper, based on high-dimensional factor models (HDFMs), an approach is proposed for the decomposition and spatial localization of cascading events. The HDFM divides the raw online monitoring data into factors (spikes, indicating event signals) and residuals (a bulk, indicating noises or normal fluctuations). The estimated number of factors is employed as the indicator to detect the occurrence of subevents. In addition, the autoregressive rate of residuals measures the changes in the temporal correlation of noises to track the system's operating state. Case studies verify the proposed approach.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133695438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mechanism Analysis of the Harmonic Emission in Photovoltaic System","authors":"Bin Yu, Zhenguo Shao, Yan Zhang","doi":"10.1109/ACPEE56931.2023.10135575","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135575","url":null,"abstract":"With the increasing integration of renewable energy sources represented by photovoltaic, harmonic issues can no longer be neglected. To better describe the harmonic emission properties of photovoltaic generation system, an equivalent model that can accurately calculate the output harmonic current of photovoltaic generation system is proposed by analyzing the mechanism of harmonic generation of photovoltaic power. Aiming at the problem of harmonics generated by photovoltaic modules and relevant control strategies, the harmonic current expression is constructed by analyzing the mechanism of harmonic generation. As for the harmonics generated by the inverter, the expression of inverter harmonic transfer function considering the impact of external harmonic disturbance and dead-time effect is established. The equivalent expression of photovoltaic output harmonic current is derived so as to establish a photovoltaic power generation harmonic equivalent model. Finally, the validity of the derived model is verified by the emulation.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133909559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Broadband Adaptive Harmonic Resonance Suppression Strategy based on the Sliding-Window FFT Algorithm for the Grid-following Inverter","authors":"Xinxin Fu, Xing Zhang, Feng Han, Jilei Wang, Mengze Wu, Zixuan Guo","doi":"10.1109/ACPEE56931.2023.10135821","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135821","url":null,"abstract":"The photovoltaic new energy power generation technology has developed rapidly, the increase of nonlinear devices in the electric grid leads to rapid permeability growth. The power grid presents the broadband variation of harmonic frequency and weak grid characteristics. The Harmonic current and harmonic voltage interact and generate each other through large power grid impedance, aggravating the risk of harmonic resonance in grid-connected systems. As the critical equipment, the grid-connected inverter should have the ability to fast and accurate grid signal acquisition. If the inverter harmonic suppression strategy has a particular structure and parameters, it will not be able to adapt to the situation of decreasing the harmonic frequency and changing harmonic content, thus aggravating the instability under the weak grid. This paper proposes a broadband adaptive harmonic resonance suppression strategy based on a sliding-window FFT algorithm to solve the above instability issues. The sliding-window FFT algorithm can obtain the multi-harmonic information with changing grid points in real-time at a higher rate. The structure and parameters of the harmonic resonance suppression strategy can adaptively change with the obtained multi-harmonic information, and it does not affect the control characteristics at other frequencies except harmonic frequency. Therefore, the harmonic suppression ability of the inverter under the weak grid is ensured. Finally, the rationalization of the strategy is validated through simulation experiments under two working conditions.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133122038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lightning Current Monitoring Based on Accurately Tracking State of Polarization by Measuring Stokes Parameters of Optical Signal in OPGW Fiber","authors":"Shukang Han, Yize Tang, Hongyan Wang, Yang Li, Hongbing Huang, Yuxiang Lv, Yehua Zhang, Xianfeng Tang","doi":"10.1109/ACPEE56931.2023.10135639","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135639","url":null,"abstract":"This paper proposes a scheme of lightning current monitoring based on measuring Stokes parameters in OPGW (Optical Power Ground Wire). Compared with traditional lightning current monitoring schemes, this design has many advantages including simple structure and high anti-interference ability. Polarization state of the signal in the OPGW fiber rotates in the direction of propagation due to the magnetic field generated by lightning strong current according to Faraday effect. Accurate tracking of state of polarization can be achieved by analyzing the change of Stokes parameters on Poincare sphere. In the experiment, lightning strikes with a current of 600 kA is successfully monitored by this scheme. Meanwhile, the error of current monitored via the scheme is approximately 1.5% when the interference RSOP is added.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133394997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fuhao Sun, Cheng Yang, Haoyang Cui, Zhipeng Lv, Jie Shao, Bochao Zhao, Ke He
{"title":"Dust Detection Techniques for Photovoltaic Panels from a Machine Vision Perspective: A Review","authors":"Fuhao Sun, Cheng Yang, Haoyang Cui, Zhipeng Lv, Jie Shao, Bochao Zhao, Ke He","doi":"10.1109/ACPEE56931.2023.10135722","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135722","url":null,"abstract":"This paper provides an extensive review of dust detection techniques for photovoltaic panels. The review is conducted from two main perspectives. Firstly, the paper examines the current state of research into image processing methods for detecting dust on photovoltaic panels, which includes an analysis of the various techniques and algorithms that have been developed to date. Secondly, the paper reviews deep learning-based techniques for dust detection on photovoltaic panels which includes an examination of how machine learning algorithms can be used to improve the accuracy and efficiency of dust detection. This paper highlights some of the key challenges and future research directions in the field of photovoltaic panel dust detection technology, which include improving the accuracy and reliability of dust detection methods, as well as developing new techniques that can better cope with changing environmental conditions. Overall, this paper provides a valuable overview of current research into dust detection techniques for photovoltaic panels and points towards some exciting future developments in this field.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133399872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ran Lv, Mingxing Guo, Xiaohui Wang, Su Wang, Li Lan, Fei Fei, Bochao Zhao
{"title":"Blockchain-based Demand Response for Aggregated Residential Users in a Virtual Power Plant","authors":"Ran Lv, Mingxing Guo, Xiaohui Wang, Su Wang, Li Lan, Fei Fei, Bochao Zhao","doi":"10.1109/ACPEE56931.2023.10135936","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135936","url":null,"abstract":"In China, residential demand-side resources have gained attention due to the yearly rise in electricity consumption and the growing peak-to-valley difference in electricity loads. However, issues such as privacy, revenue distribution and demand scheduling hinder user participation in demand response (DR). To address this, we propose a blockchain-based virtual power plant structure to conduct DR transactions. In the proposed framework, blockchain technology is used for privacy protection and revenue distribution. Multi-objective optimization model is used to schedule demands for lower bills while maintaining satisfaction. The model is solved by non-dominated sorting genetic algorithm II and the experiments are carried out on the UK REFIT dataset. The demand scheduling results show the objectives of minimizing electricity bills and user dissatisfaction have been reached.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130340747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conference Speakers","authors":"","doi":"10.1109/acpee56931.2023.10135776","DOIUrl":"https://doi.org/10.1109/acpee56931.2023.10135776","url":null,"abstract":"","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115732391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on properties of flexible glue-free graphite carbon fiber composite grounding conductor","authors":"Xianghan Wang, Mian Fan, Huiwen He, Lei Wang","doi":"10.1109/ACPEE56931.2023.10135811","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135811","url":null,"abstract":"In view of the safety risks and environmental problems of using polymer glue for graphite composite grounding material, this paper proposes a flexible glue-free graphite carbon fiber composite conductive material. It’s manufactured by rolling process with graphite and carbon fiber, and can be cut, twisted and woven into rope-shape composite grounding conductor to replace galvanized steel in grounding device of transmission line. In this paper, the micromorphology of the composite conductive material is observed by SEM. The electrical resistivity measurement, pulse current withstand test, tensile performance test and temperature test are conducted on the composite grounding conductor according to the electric power industry standard DL/T 2095-2020. The test results show that the composite grounding conductor has good electrical and mechanical properties and meets the requirements of power engineering.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114320130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhen Xu, Tiejun Ma, Lei Pan, Tianwen Zheng, S. Mei
{"title":"Suppression Strategy for Power Fluctuation in Adjacent Unit Caused by No-Load Transformer Charging","authors":"Zhen Xu, Tiejun Ma, Lei Pan, Tianwen Zheng, S. Mei","doi":"10.1109/ACPEE56931.2023.10135646","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135646","url":null,"abstract":"The power fluctuation in the adjacent unit is easily caused when the no-load primary transformer of a nuclear power station is put into operation. This paper proposes a method to suppress the power fluctuation of the adjacent unit. First, the mechanism causing the power fluctuation in the adjacent unit when the no-load transformer is put into operation is investigated. Second, by reducing the inrush current with a phase selection closing approach, the power fluctuation in the adjacent unit is suppressed. Finally, an actual nuclear power plant is used as a prototype to build a simulation model to verify the power fluctuation suppression strategy of the adjacent unit. The simulation results show that the bus voltage drop and the adjacent unit power fluctuation phenomenon are well reproduced. The effectiveness of the power fluctuation suppression strategy proposed in this paper has been verified.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"13 84","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114088808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transient Frequency Temporal and Spatial Distribution Characteristics of MMC-HVDC Sending-end AC Subsystem for Wind Power Transmission During Symmetric Fault","authors":"Yanwei Jing, Xiuzhang Wei, Jicong Wu, Hui Zhang, Zimao Yue, Wei Wan","doi":"10.1109/ACPEE56931.2023.10135709","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135709","url":null,"abstract":"The frequency characteristics of the modular multilevel converter based high voltage direct current (MMC-HVDC) sending-end ac subsystem for wind power transmission are totally different from traditional as system. When there is a fault, transient frequency fluctuation may cause the disintegration of the transmission system. However, the frequency loop control technology is still immature and cannot be used in actual systems at present. Hence, the paper is aimed to explore the transient frequency fluctuation suppression method without altering the traditional U/f dual closed-loop control structure. For the purpose, considering the dynamic processes of both the MMC and the wind turbine, a detailed mathematical model based on the control structure is initially established. And then transient frequency temporal and spatial distribution characteristics are analyzed through simulation based on Matlab/Simulink. Simulation results show that the transient frequency spatial distribution difference is mainly caused by transient current changing ratio, and the dominant factor of the transient frequency temporal characteristics is the PI controller parameters of the MMC.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114859574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}